Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add mostafa-drz/claude-skills --skill shop-researchgit clone --depth 1 https://github.com/mostafa-drz/claude-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mostafa-drz/claude-skills/shop-research)<a href="https://agentmods.dev/skills/mostafa-drz/claude-skills/shop-research"><img src="https://agentmods.dev/badge/skills/mostafa-drz/claude-skills/shop-research/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mostafa-drz/claude-skills/shop-research"><img src="https://agentmods.dev/badge/skills/mostafa-drz/claude-skills/shop-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00138 | $0.05283 |
| Opus 5.5 | $0.00055 | $0.02113 |
| Sonnet 5.5 | $0.00028 | $0.01057 |
| Haiku 4.5 | $0.00014 | $0.00528 |
Grade A, and why
shop-research scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Bash(curl *) How it starts
The opening of the file, as written. The whole thing — 451 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preferences
On startup, use Read to load ~/.claude/skills/shop-research/preferences.md. If missing, treat as first-run (see First-time detection below).
Defaults when no preferences exist:
output-root:~/Desktop/shop-research/(confirmed on first run)default-sites:amazon,google-shoppingmax-candidates:5currency:USDtone:friendly-cli(terse, direct, warm — not corporate)open-report:true(auto-open the HTML report when done)
Also load ~/.claude/skills/shop-research/feedback-journal.md if present — it contains thumbs-up/down on past recommendations. Summarize its signal (e.g., "prefers minimal aesthetic", "avoids fast-fashion brands") and carry that into ranking.
Context
On startup, use Bash to detect: today's date (date +%Y-%m-%d), and whether ~/Desktop/shop-research/ exists (ls or absence).
Command routing
Check $ARGUMENTS:
help→ show help, stopconfig→ run config flow, stopreset→ delete preferences + feedback journal, confirm, stopfeedback→ collect thumbs-up/down on the most recent research (see Feedback section), stophistory→ list recent research folders with titles and dates, stopsetuporpreflight→ run the Chrome extension setup/onboarding flow (see Setup section), stop- anything else → run the skill (starts with a preflight check — see Step 0)
Help
shop-research — Product research across Amazon, Google & specialty sites with a 2026 HTML report
Usage:
/shop-research [what to find] Interactive research
/shop-research [...] --for <recipient> Who is this for? (e.g., "mom, loves gardening")
/shop-research [...] --budget <range> e.g., "under $50", "$100-200"
/shop-research [...] --sites <list> Override default sites (amazon,google,etsy,rei,...)
/shop-research [...] --max-candidates <N> How many finalists to include (default 5)
/shop-research [...] --notes <text> Extra criteria, preferences, exclusions
/shop-research config Set preferences
/shop-research reset Clear preferences + feedback journal
/shop-research feedback Rate the last research (teaches the skill)
/shop-research history List past research folders
/shop-research setup Walk through Chrome extension setup
/shop-research help This help
Examples:
/shop-research "birthday gift for my dad — loves woodworking, under $75"
/shop-research "standing desk" --budget "$300-600" --notes "manual crank ok, no glass tops"
/shop-research "running shoes" --for "me, neutral arch, marathon training" --sites amazon,rei
Output:
{output-root}/{YYYY-MM-DD}-{kebab-title}/
├── report.html ← modern 2026 single-file report (open in browser)
├── data.json ← structured data (products, reviews, scores)
├── candidates/
│ ├── {slug-1}/
│ │ ├── hero.png ← product image
│ │ ├── page.png ← screenshot of listing
│ │ └── notes.md
│ └── ...
└── sources.md ← all URLs visited + reasoning trail
Current preferences:
(loaded from preferences.md)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago Changed · +3 lines 9bad53a9d5c7
- 1mo ago First seen · 448 lines · 138 tokens per session scan A 7fa9828bec74
shop-research is a skill published in the GitHub repository mostafa-drz/claude-skills (4 stars, last pushed yesterday), licensed MIT. It adds 138 tokens to every session and 5,283 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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